BACHELOR OF TECHNOLOGY (CS – DATA SCIENCE)

B.Tech. (CS – Data Science)

Bachelor of Technology (CS – Data Science)

Duration: 4 years, Eight semesters. (Admissions open for the batch 2020-21)

Eligibility:Pass in the 10+2 /12th standard with minimum 40% marks. Admission needs valid score in SUAT

About B.Tech (CS – Data Science)

In today’s Digital world, most businesses and industries will have a dire need to analyze their huge volume of data, to glean new insights which will help them in revenue generation and business development. Organizations across the globe are excited by the prospect of "data-driven science" as a complement to traditional knowledge-driven decision-making process. It is very much evident from the fact that Social media and software product giants like, Facebook, Google, Amazon, Microsoft, IBM, LinkedIn and many other Fortune-500 organizations are already making huge investments in large scale data analytics to help them exploit the power of extracting wisdom (useful insights) from the massive raw data being generated at a very high pace in today’s world.

This program will provide students with the fundamental knowledge of all aspects of Statistics and Machine Learning. The program focuses on Probability and Statistics, Inferential Statistics, Machine Learning Techniques, Natural Language Processing, Neural Networks, Deep Learning, Visualization Techniques and other related Data Science concepts.

This program also equips the students with the concepts and the technical skills needed to secure knowledge on Big Data analytical concepts and real time practical knowledge. In Big Data front, student will get to know about storing and processing of huge volume of data on Hadoop Cluster. The focus of the program is on the models, tools and techniques for enforcement of Big Data Analytics, Big data Analytics on Cloud, Real time data Processing and NoSQL data base concepts.

Special Features of the Program:

  • Classes will be held between 9.00 am and 2.00 pm with half an hour break during week days.
  • E-Study material will be provided from the college for every subject according to the syllabus.
  • Industry oriented syllabus with special focus on experimental learning.
  • Mini project in each semester.
  • Campus recruitment facility and higher education opportunity leading to M.Tech and MS.
  • Innovations in examination system with opportunity to seethe evaluated papers in person.
  • 50% weightage of marks on continuous evaluation and 50% weightage on semester end exam.
  • Make-up exams in every semester to avoid year loss.
  • Placement support and research oriented projects for every student.
  • Focus on smart skill development and training for competitive exams.
  • Separate Hostels & Transport facility for boys & Girl

Career Opportunities:

Data Science Engineer, Data Administrator, Data Analyst, Research Associate, Research Scientist, Data Scientist, Artificial Intelligence Developer, Statistician, Data Architect, Big Data Developer, Hadoop Specialist, Data Architect, AI Consultant, Business Analyst, Bid Data Visualizer, Data warehouse Engineer, Business Intelligence Analyst, Data Modeler, Database developer, Data Mining Analyst, Business system Analyst.



Anvar Shathik J

B.E., M.E., M.I.S.T.E

Co-Ordinator B.Tech.in Data Science

 Programme Structure:

SEMESTER 1 SEMESTER 2
S. No. Subject Credit/ Marks S. No Subject Credit/ Marks
1 Engineering Physics of Materials 4/100 1 Engineering Chemistry of Materials 4/100
2 Computer Software Concept & Programming 4/100 2 Information Communication & Computation Technology 4/100
3 Elements of Electrical & Electronics 4/100 3 Elements of Mechanical & Civil Engineering 4/100
4 Quantitative Techniques in Engineering –I/II 4/100 4 Quantitative Techniques in Engineering –I/ II 4/100
5 Lab on Engineering Physics of Materials 2/100 5 Lab on Engineering Chemistry of Materials 2/100
6 Electrical & Electronics Lab 2/100 6 Computer Aided Engineering Drawing Lab 2/100
7 Lab on Computer Programming 2/100 7 Lab on Spreadsheet Programming 2/100
8 Technical English (ESEP – Xlanz) 2/50 8 Professional English ( ESEP – Xlanz) 2/50
9 Principles of Environmental Studies 2/50 9 Constitution & Professional Ethics 2/50
10 Kannada/ Co-curricular Activities/Sports (ESEP) - 10 Kannada/ Co-curricular Activities/Sports (ESEP) -
  Total Credit 26/800   Total Credit 26/800
SEMESTER 3 SEMESTER 4
S. No. Subject Credit/ Marks S. No Subject Credit/ Marks
1 Database Management Systems 4/100 1 Statistics and Probability - I 4/100
2 Data Structures and Algorithms 4/100 2 Python Programming 4/100
3 Operating Systems 4/100 3 Introduction to Data Science 4/100
4 Computer Network 4/100 4 Object Oriented Programming using Java 4/100
5 Database Management Systems Lab 2/100 5 Python Programming Lab 2/100
6 Data Structures and Algorithms Lab 2/100 6 R Programming Lab 2/100
7 Computer Network Lab 2/100 7 Object Oriented Programming using Java Lab 2/100
8 ESEP- Design Thinking 2/50 8 ESEP- Blockchain Technologies 2/50
9 ESEP – Xlanz 2/50 8 ESEP – Xlanz 2/50
10 Co-curricular Activities/ Sports (ESEP) - 10 Co-curricular Activities/ Sports (ESEP) -
  Total Credits 26/800   Total Credits 26/800
SEMESTER 5 SEMESTER 6
S. No. Subject Credit/ Marks S. No Subject Credit/ Marks
1 Machine Learning 4/100 1 Big Data Analytics 4/100
2 NoSQL Databases 4/100 2 Advanced Machine Learning 4/100
3 Core-Elective 4/100 3 Core-Elective 4/100
4 Statistics and Probability - II 4/100 4 Sampling Techniques 4/100
5 Machine Learning Lab 2/100 5 Big Data Analytics Lab 2/100
6 NoSQL Databases Lab 2/100 6 Advanced Machine Learning Lab 2/100
7 Lab/ Project on Core Elective 2/100 7 Lab /Project on Core Elective 2/100
8 ESEP-Intellectual Property Rights 2/50 8 ESEP-Patent Analysis 2/50
9 ESEP – Xlanz 2/50 9 ESEP – Xlanz 2/50
10 Co-curricular Activities/ Sports (ESEP) - 10 Co-curricular Activities/ Sports (ESEP) -
  Total Credits 26/800   Total Credits 26/800
SEMESTER 5 SEMESTER 6
Core Electives Core Electives
1 Data Warehousing and ETL Techniques 4/100 1 Natural Language Processing 4/100
2 Exploratory Data Analysis 4/100 2 Recommender System 4/100
3 Data Aggregation & Pre-processing 4/100 3 Deep Learning 4/100
SEMESTER 7 Credit/Marks SEMESTER 8 Credit/Marks
S. No. Subject Credit/ Marks S. No Subject Credit/ Marks
1 Advanced Big Data Analytics 4/100 1 Project based Internship with applied Patent 24/750
2 Data Visualization 4/100 2
3 Core/Elective/Soft 4/100 3
4 Software Engineering 4/100 4
5 Advanced Big Data Analytics Lab 2/100 5
6 Data Visualization Lab 2/100 6
7 Project 2/100 7
8 ESEP-User Experience Design 2/50 8
9 ESEP – Xlanz 2/50 9 ESEP – Xlanz 2/50
10 Co-curricular Activities/ Sports (ESEP) - 10 ESEP- ABC Skill Trainer (Optional) -
  Total Credits 26/800   Total Credits 26/800
SEMESTER 7
Core Electives
1 Data Mining Techniques 4/100
2 Design and Analysis of Experiments 4/100
3 Business Intelligence 4/100

Fee Structure

(For the Academic Year 2020-21)

S.No Courses Duration Annual Fee Structure
Non-Karnataka Karnataka
1 B.Tech. (DS) – Data Science 
Eligibility : Pass in 10+2/PUC  with Physics, Mathematics  as  compulsory subject along  with Biology/Computer  Science/Electronics/BioTechnology with minimum  45% marks  (NRI : 25K extra in I Year) 
4 Years  (Eight  Semesters)  (With  iNurture,  Bangalore)  Year I : Rs. 1,83,000
Year II : Rs. 1,50,500 
Year III : Rs. 1,50,500  Year IV : Rs. 1,50,500
Total: Rs. 6,34,500
Rs. 1,55,000
Rs. 1,50,500
Rs. 1,50,500
Rs. 1,50,500
Rs. 6,06,500

Note :
(1) University Registration Fee, Eligibility Fee for other State students, Examination Fee, Uniform Fee, Hostel Fee, Industry visit fee, Internship fee, Transportation fee, Sports & games fee, Extra-curricular activity fee, etc., are extra. The course fees mentioned for subsequent years may vary annually up to 6%.
(2) The University Marketing Team will help the admitted students to avail of Education Loans, Scholarships, etc.
(3) The University Placement & Training Team will assist the admitted students to get (a) Earn While Learn, (b) Industry Internship, and (c) Final Job Placement.